Almost every analyst data product gives you the same two fields: a price target and a rating. Neither tells you whether the analyst issuing it has been any good. AnaChart adds the field that answers that question, a verified track record for every analyst, and it is the part most datasets simply do not carry.
This is the accuracy layer of the analyst price target dataset: for each of 7,191 analysts, how many of their past targets the stock reached, how long those targets took to hit, and a score that ranks skill on a comparable scale.
The three accuracy fields
Met ratio. The share of an analyst’s past targets on a stock that the price reached. A “met” target means the stock touched the number, at any point, with no fixed horizon imposed after the fact.
Average days to hit. How long the reached targets took, on average. Two analysts can both be right and be years apart on speed, which changes what the call is worth.
Performance score. A single number that rewards targets that were both accurate and fast, so a slow correct call and a quick correct call do not read the same. It lets you rank analysts on one stock, or across the whole universe.
What it looks like on a real name
Here are five analysts covering Apple, pulled live from their AnaChart page. The met ratio is their full AAPL history, not a recent streak.
| Analyst | Firm | AAPL targets met | Met ratio |
|---|---|---|---|
| Wamsi Mohan | BofA Securities | 159 / 164 | 96.95% |
| Amit Daryanani | Evercore ISI | 154 / 159 | 96.86% |
| Erik Woodring | Morgan Stanley | 46 / 48 | 95.83% |
| Laura Martin | Needham | 55 / 55 | 100% |
| Krish Sankar | TD Cowen | 38 / 42 | 90.48% |
A raw consensus treats all five as one vote each. With the met ratio in the table, you can weight them, or drop the ones whose targets rarely land, before the number ever reaches your model.
Why the field is rare
Scoring a track record needs the one thing most feeds throw away: the point-in-time record of every target as it stood on the day it was issued, kept even after the analyst revised it, the stock delisted, or the firm renamed. AnaChart keeps all of it, survivorship-free, across 661,383 price targets and 759,654 ratings from 2004 to 2026. Rebuilding that history from a live consensus feed is not possible after the fact, which is why a met ratio is hard to find and easy to trust once you have it.
What you can answer with it
- Weight consensus by each analyst’s track record instead of counting heads.
- Screen for the analysts whose targets on a sector land, and follow their revisions.
- Backtest whether a signal built on high-met-ratio analysts would have beaten the raw consensus.
- Flag the initiations and revisions that came from analysts with a real record on the name.
The accuracy fields ship with the same delivery options as the rest of the data. The dataset overview covers the full schema and how each field is defined. For warehouse delivery, see the Snowflake and BigQuery feed.
See it before you commit
The free Apple sample includes the accuracy fields for every analyst on the name, so you can see exactly how the met ratio and score behave. Request the AAPL sample, or ask us about a custom cut.
FAQ
What does “met” mean for a price target?
The stock touched the target price at some point after it was issued. There is no fixed horizon applied after the fact. Laura Martin’s 55 of 55 on Apple means every target she set was reached.
How is the performance score calculated?
It rewards targets that were both accurate and fast, scaling the gap between the target and the price at issue by how long the target took to hit. A quick correct call scores higher than a slow one. Unmet targets score zero.
How far back does the accuracy history go?
back to 2004, with deep, continuous coverage from 2013, and no survivorship filtering. Delisted, renamed, and acquired tickers are kept, so a backtest sees the record as it stood.